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Bechini A, Boccalini S, Del Riccio M, Pattyn J, Hendrickx G, Wyndham-Thomas C, Gabutti G, Maggi S, Ricciardi W, Rizzo C, Costantino C, Vezzosi L, Guida A, Morittu C, Van Damme P, Bonanni P. Overview of adult immunization in Italy: Successes, lessons learned and the way forward. Hum Vaccin Immunother 2024; 20:2411821. [PMID: 39429151 DOI: 10.1080/21645515.2024.2411821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 09/11/2024] [Accepted: 09/30/2024] [Indexed: 10/22/2024] Open
Abstract
The exchange of knowledge and best practices in adult immunization are essential to improve vaccination strategies across the European region. Italy has made groundbreaking progress in the field, being one of the first countries to propose a life-course vaccination schedule, broadening the traditional focus on childhood immunization to include adults. All vaccines included in Italy's vaccination schedule are free of charge. Moreover, the country's National Immunization Plan sets clear coverage targets, immunization priorities, and actions to reduce disparities. However, the fragmentation of its National Health System following the constitutional reform of 2001 has led to an increased complexity and regional inequalities regarding immunization. Other challenges the country faces include growing vaccine hesitancy, data gaps and underserved populations. This review describes Italy's adult immunization system, from policy to implementation. The successes, challenges and lessons learned were shared during the first Adult Immunization Board country meeting in Italy, where local experts, healthcare providers, public health representatives, and policymakers engaged in collaborative discussions and shared insights through case studies and presentations (December 2023). These insights are reviewed and discussed in this manuscript.
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Affiliation(s)
- Angela Bechini
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Sara Boccalini
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Marco Del Riccio
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Jade Pattyn
- University of Antwerp, Centre for the Evaluation of Vaccination, Antwerp, Belgium
| | - Greet Hendrickx
- University of Antwerp, Centre for the Evaluation of Vaccination, Antwerp, Belgium
| | | | - Giovanni Gabutti
- National Coordinator of the Working Group on Vaccines and Vaccination Policies, Italian Society of Hygiene, Preventive Medicine, and Public Health, Cogorno, Italy
| | - Stefania Maggi
- Neuroscience Institute, National Research Council, Padua, Italy
| | - Walter Ricciardi
- Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Caterina Rizzo
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Claudio Costantino
- Department of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Excellence Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Luigi Vezzosi
- ATS Val Padana, General Directorate of Welfare Department, Lombardy Region, Milan, Italy
| | - Andrea Guida
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Chiara Morittu
- Department of Health Sciences, University of Florence, Florence, Italy
| | - Pierre Van Damme
- University of Antwerp, Centre for the Evaluation of Vaccination, Antwerp, Belgium
| | - Paolo Bonanni
- Department of Health Sciences, University of Florence, Florence, Italy
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Yin Z, Dong Y, Wang Q, Ma Y, Gao Z, Ling Z, Aihaiti X, Abudusaimaiti X, Qiu R, Chen Z, Wushouer F. Spatial-temporal evolution patterns of influenza incidence in Xinjiang Prefecture from 2014 to 2023 based on GIS. Sci Rep 2024; 14:21496. [PMID: 39277661 PMCID: PMC11401927 DOI: 10.1038/s41598-024-72618-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Accepted: 09/09/2024] [Indexed: 09/17/2024] Open
Abstract
Using GIS technology, this study investigated the spatiotemporal distribution pattern of influenza incidence in Xinjiang from 2014 to 2023 based on influenza surveillance data. The study revealed a noticeable fluctuation trend in influenza incidence rates in Xinjiang, particularly notable spikes observed in 2019 and 2023. The results of the 3-year moving average showed a significant long-term upward trend in influenza incidence rates, confirmed by Theil-Sen method (MAD = 2.202, p < 0.01). Global spatial autocorrelation analysis indicated significant positive spatial autocorrelation in influenza incidence rates from 2016 and from 2018 to 2023 (Moran's I > 0, P < 0.05). Local spatial autocorrelation analysis further revealed clustering patterns in different regions, with high-high clustering and low-high clustering predominating in northern Xinjiang, and low-low clustering predominating in southern Xinjiang. Hotspot analysis indicated a progressive rise in the number of influenza incidence hotspots, primarily concentrated in northern Xinjiang, particularly in Urumqi, Ili Kazakh Autonomous Prefecture, and Hotan Prefecture. Standard deviation ellipse analysis and the trajectory of influenza incidence gravity center migration showed that the transmission range of influenza in Xinjiang has been expanding, with the epidemic center gradually moving northward. The spatiotemporal heterogeneity of influenza incidence in Xinjiang highlights the need for differentiated and precise influenza prevention and control strategies in different regions to address the changing trends in influenza prevalence.
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Affiliation(s)
- Zhe Yin
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Yan Dong
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Qi Wang
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Yuanyuan Ma
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Zhenguo Gao
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Zhang Ling
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Xiapikatijiang Aihaiti
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Xiayidanmu Abudusaimaiti
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Ruiying Qiu
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Zihan Chen
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China
| | - Fuerhati Wushouer
- Xinjiang Uygur Autonomous Region Center for Disease Control and Prevention, No. 380, Jianquan First Street, Tianshan District, Ürümqi, 830002, Xinjiang Uygur Autonomous Region, China.
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Ai J, Wang H, Zhang H, Song J, Zhang Y, Lin K, Qu L, Zhang Y, Zhang S, Xiang Q, Geng J, Jin G, Song W, Zhang L, Hu X, Liu H, Yuan G, Jiang N, Zhou Y, Xu Y, Ying J, Wu J, Xing Y, Fang K, Yan H, Chen F, Xu T, Wang S, Qian Z, Zhang W. Alterations of pathogen transmission patterns and attenuated immune stimulation might be the cause of increased adult respiratory infections cases in 2023, results from a multi-center study in mainland China. Heliyon 2024; 10:e32304. [PMID: 38948033 PMCID: PMC11209019 DOI: 10.1016/j.heliyon.2024.e32304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/31/2024] [Accepted: 05/31/2024] [Indexed: 07/02/2024] Open
Abstract
Background Several respiratory infections outbreaks have been observed in mainland China after reduction of non-pharmaceutical interventions. Other countries have seen increases in respiratory infections outside typical seasons post-COVID-19, warranting investigation into underlying causes. Methods We established monitoring networks for suspected respiratory infection in 14 tertiary hospitals nationwide. PCR for SARS-CoV-2, influenza A and B were performed on 3708 respiratory specimens and deep sequencing were conducted to identify co-infections or newly emerging microbes in 2023. Viral evolutionary analysis was completed. We retrospectively detected serum antibody level for various respiratory pathogens from 4324 adults without respiratory infections over 7 years to observe its dynamic curves. Findings SARS-CoV-2 and influenza A were the main pathogens during outbreaks in 2023, bacterial-virus and bacterial-bacterial co-infections were most detected, but community co-infections didn't significantly increase pneumonia incidence. Different SARS-CoV-2 and influenza variants were present in different outbreaks, and no novel pathogens were found. The epidemiological patterns of influenza A, COVID-19 and etc. were altered, exhibiting characteristics of being "staggered" compared to most global regions, and potentially led to "overlapping prevalence". Binding antibody testing showed regular fluctuation, without significant decrease against common respiratory pathogens in adults. Influenza A antibody stimulation was attenuated during the 2023 outbreak. Conclusions "Misaligned" alteration in seasonal respiratory disease patterns possibly caused combined epidemics, leading to cases spike in China, 2023. In adults, antibody levels didn't show significant decline, but reduced immune response to influenza during 2020-2023 emphasizes the need for consistent vaccination during pandemics.
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Affiliation(s)
- Jingwen Ai
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Hongyu Wang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
| | - Haocheng Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Jieyu Song
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
| | - Yi Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
| | - Ke Lin
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
| | - Lihong Qu
- Department of Infectious Disease, Shanghai East Hospital, Tongji University School of Medicine, No. 150, Jimo Road, Pudong New Area, Shanghai, China
| | - Yanliang Zhang
- Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, No. 157, Daming Road, Qinhuai District, Nanjing, China
- Nanjing Research Center for Infectious Diseases of Integrated Traditional Chinese and Western Medicine, Nanjing, China
| | - Shiliang Zhang
- The Fifth People's Hospital of Wuxi, No. 1215, Guangrui Road, Liangxi District, Wuxi, Jiangsu, China
| | - Qiyun Xiang
- The Third People's Hospital of Yichang City, No. 23, Gangyao Road, Xiling District, Yichang, Hubei, China
| | - Jiawei Geng
- Department of Infectious Diseases, The First People's Hospital of Yunnan Province, No. 157, Jinbi Road, Xishan District, Kunming, China
| | - Guangxia Jin
- Jining City Public Health Medical Center, No. 66, Chenyang Road, Rencheng District, Jining, Shandong, China
| | - Wei Song
- Department of General Practice, Jinyang Community Health Service Center, No. 121, Jin Yang Road, Pudong New Area, Shanghai, China
| | - Liaoyun Zhang
- Department of Infectious Diseases, The First Hospital of Shanxi Medical University, No. 85, Jiefang South Road, Taiyuan, China
| | - Xiaoli Hu
- Department of Infectious Disease, Heilongjiang Province Hospital, No. 82, Zhongshan Road, Xiangfang District, Harbin, Heilongjiang, China
| | - Hongyan Liu
- Liaoning Emergency Treatment and Innovation Center of Public Health Emergencies, The Sixth People's Hospital of Shenyang, No. 85, South Heping Street, Heping District, Shenyang, Liaoning, China
| | - Guanmin Yuan
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
| | - Ning Jiang
- School of Life Sciences Fudan University, No. 2005 Songhu Road, Yangpu District, Shanghai, China
| | - Yang Zhou
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Yuanyuan Xu
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Jun Ying
- Fudan University Library, No. 220, Handan Road, Yangpu District, Shanghai, China
| | - Jiqin Wu
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Yajiao Xing
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Kai Fang
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Hui Yan
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Feiying Chen
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Tailin Xu
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Sen Wang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
| | - Zhaohui Qian
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- State Key Laboratory of Respiratory Health and Multimorbidity, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Wenhong Zhang
- Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Shanghai Medical College, Fudan University, 12 Wulumuqi Zhong Road, Shanghai, China
- Shanghai Sci-Tech InnoCenter for Infection and Immunity, Room 201, No. 6, Lane 1220, Huashan Road, Changning District, Shanghai, China
- Institute of Infection and Health, Fudan University, Shanghai, China
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Harding ER, Wildenbeest JG, Heikkinen T, Dacosta-Urbieta A, Martinón-Torres F, Cunningham S, Templeton K, Bont LJ, Billard MN. Inconsistent Increase in Age at Respiratory Syncytial Virus Hospitalization of Children Aged <2 Years During the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic: A Retrospective Multicenter Study in 4 European Countries. J Infect Dis 2024:jiae292. [PMID: 38912724 DOI: 10.1093/infdis/jiae292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Indexed: 06/25/2024] Open
Abstract
BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic disrupted respiratory syncytial virus (RSV) seasonality. To optimize the use and evaluation of RSV infant immunization strategies, monitoring changes in RSV epidemiology is essential. METHODS Hospitalizations for acute respiratory infections (ARIs) and RSV-coded ARI in children <2 years were extracted in 4 European hospitals, according to predefined case definitions (International Classification of Diseases, Tenth Revision codes). Prepandemic RSV seasons (2017-2018 to 2019-2020) were compared to 2021-2022 and 2022-2023. RESULTS In 2021-2022 and 2022-2023, the peak number of RSV hospitalizations was higher than prepandemic peaks after short periods of RSV circulation, and lower than prepandemic peaks after long periods of RSV circulation. A greater proportion of RSV hospitalizations occurred in children 1 to <2 years in 2021-2022 in the Netherlands (18% vs 9%, P = .04). No increase in age was observed elsewhere. High-risk children represented a greater proportion of RSV hospitalizations during the pandemic. The proportion of pediatric intensive care unit admissions did not increase. CONCLUSIONS A decrease in population immunity has been linked to older age at RSV hospitalization. We did not observe an increase in age in 3 of the 4 participating countries. Broad age categories may have prevented detecting an age shift. Monitoring RSV epidemiology is essential as Europe implements RSV immunization.
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Affiliation(s)
- Eline R Harding
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Netherlands
| | - Joanne G Wildenbeest
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Netherlands
| | - Terho Heikkinen
- Department of Pediatrics, University of Turku and Turku University Hospital, Finland
| | - Ana Dacosta-Urbieta
- Translational Paediatrics and Infectious Diseases, Paediatrics Department, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
- Genetics, Vaccines and Infections Research Group, Instituto de Investigación Sanitaria de Santiago, University of Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Federico Martinón-Torres
- Translational Paediatrics and Infectious Diseases, Paediatrics Department, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
- Genetics, Vaccines and Infections Research Group, Instituto de Investigación Sanitaria de Santiago, University of Santiago, Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
| | - Steve Cunningham
- Department of Child Life and Health, Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom
| | - Kate Templeton
- Department of Medical Microbiology, Royal Infirmary, NHS Lothian, Edinburgh, United Kingdom
| | - Louis J Bont
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Netherlands
- ReSViNET Foundation, Julius Clinical, Zeist, Netherlands
| | - Marie-Noëlle Billard
- Department of Pediatric Infectious Diseases and Immunology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Netherlands
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Petros BA, Milliren CE, Sabeti PC, Ozonoff A. Increased Pediatric Respiratory Syncytial Virus Case Counts Following the Emergence of SARS-CoV-2 Can Be Attributed to Changes in Testing. Clin Infect Dis 2024; 78:1707-1717. [PMID: 38602423 PMCID: PMC11175668 DOI: 10.1093/cid/ciae140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV) circulation dropped markedly early in the COVID-19 pandemic, followed by a resurgence with heightened case counts. The "immunity debt" hypothesis proposes that the RSV-naїve pediatric population increased during the period of low transmission. However, the evidence supporting this hypothesis is limited, and the role of changing testing practices in the perceived surge has not been comprehensively evaluated. METHODS We conducted a multicenter, retrospective analysis of 342 530 RSV encounters and 980 546 RSV diagnostic tests occurring at 32 US pediatric hospitals in 2013-2023. We used interrupted time series analysis to estimate pandemic-associated changes in RSV patient and test volume and to quantify changes in the proportions of patients requiring hospitalization, intensive care, or mechanical ventilation. We quantified the fraction of the shifts in case counts and in the age of diagnosed patients attributable to changes in testing. RESULTS RSV patient volume increased 2.4-fold (95% confidence interval [CI]: 1.7, 3.5) in 2021-2023 relative to the pre-pandemic phase and was accompanied by an 18.9-fold increase (95% CI: 15.0, 23.9) in RSV test volume. Shifts in patient volume and in patient age were largely attributable to increased testing. The proportions of patients with RSV that required hospitalization, intensive care, or mechanical ventilation declined significantly across all patient age groups. CONCLUSIONS A surge in RSV testing, rather than in viral circulation, likely underlies the increased case counts observed in 2021-2023. These findings warrant a critical assessment of the immunity debt hypothesis and highlight the importance of considering the testing denominator when surveillance strategies are dynamic.
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Affiliation(s)
- Brittany A Petros
- Infectious Disease and Microbiome Program, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
- Health Sciences & Technology Program, Harvard Medical School and Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Harvard–Massachusetts Institute of Technology MD-PhD Program, Boston, Massachusetts, USA
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Carly E Milliren
- Institutional Centers for Clinical and Translational Research, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Pardis C Sabeti
- Infectious Disease and Microbiome Program, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- Department of Immunology & Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Al Ozonoff
- Infectious Disease and Microbiome Program, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
- Precision Vaccines Program, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
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Pietrzak M, Pokorska-Śpiewak M. Impact of COVID-19 Pandemic on the Clinical Course and Complications of Varicella-A Retrospective Cohort Study. Pediatr Rep 2024; 16:451-460. [PMID: 38921704 PMCID: PMC11206722 DOI: 10.3390/pediatric16020039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/20/2024] [Accepted: 05/25/2024] [Indexed: 06/27/2024] Open
Abstract
In this study, we aimed to characterize a cohort of children hospitalized due to varicella before and after the outbreak of the COVID-19 pandemic. Medical charts of all children hospitalized in the Regional Hospital of Infectious Diseases in Warsaw due to varicella in the years 2019 and 2022 were retrospectively analyzed and compared. In total, 221 children were included in the analysis; 59 of them were hospitalized in 2019, whereas 162 were hospitalized in 2022. Children hospitalized in 2022 were older than those reported in 2019 (median 4.0 vs. 3.0 years, p = 0.02). None of the hospitalized children received complete varicella vaccination. The most common complication in both years was bacterial superinfection of skin lesions, found in 156/221 (70.6%) of patients. This complication rate was higher in 2022 (50.8% in 2019 vs. 77.8% in 2022, p = 0.0001), OR = 3.38, 95% CI: 1.80-6.35. Moreover, skin infections in 2022 more often manifested with cellulitis (in 2022 13.6% vs. 3.4% in 2019, p = 0.03), OR = 4.40, 95% CI: 1.00-19.33. Sepsis as a complication of varicella was almost five-fold more prevalent in 2022 than in 2019 (p = 0.009), OR = 5.70, 95% CI: 1.31-24.77. Antibiotic use increased between 2019 and 2022 (71.2% vs. 85.2%, p = 0.01). Furthermore, patients were treated more frequently with the combination of two different antibiotics simultaneously (only 3.4% of patients in 2019 compared to 15.4% in 2022, p = 0.01). Primary infections with varicella zoster virus in 2022 led to a more severe course of the disease.
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Affiliation(s)
- Maja Pietrzak
- Pediatric Infectious Diseases Department, Regional Hospital of Infectious Diseases in Warsaw, 01-201 Warsaw, Poland;
| | - Maria Pokorska-Śpiewak
- Pediatric Infectious Diseases Department, Regional Hospital of Infectious Diseases in Warsaw, 01-201 Warsaw, Poland;
- Department of Children’s Infectious Diseases, Medical University of Warsaw, 01-201 Warsaw, Poland
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Amodio E, Pisciotta V, Genovese D, Vella G, Verso MG, Giuffrè M, Vitale F. Birth characteristics as predictors of respiratory syncytial virus hospitalisation in newborns to optimise immunisation schedule. Acta Paediatr 2024; 113:1087-1094. [PMID: 38268430 DOI: 10.1111/apa.17117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 01/08/2024] [Accepted: 01/11/2024] [Indexed: 01/26/2024]
Abstract
AIM To examine birth characteristics that influence infant respiratory syncytial virus (RSV) hospitalisation risk in order to identify risk factors for severe RSV infections. METHODS Retrospective cohort study of 460 771 Sicilian children under 6 months old from January 2007 to December 2017. Hospital discharge records were consulted to identify cases and hospitalisations with International Classification of Diseases, Ninth Revision, Clinical Modification codes 466.11 (RSV bronchiolitis), 480.1 (RSV pneumonia) and 079.6 (RSV). RSV hospitalisation risk was estimated using adjusted odds ratios (aOR) and 95% confidence intervals (95% CI). RESULTS Overall, 2420 (5.25 per 1000 infants) RSV-related hospitalisations were identified during the study, with girls accounting for 52.8%. RSV hospitalisation risk increased for full-term, transferred, extreme immature, and preterm neonates with serious issues (aOR 3.25, 95% CI 2.90-3.64; aOR 1.86, 95% CI 1.47-2.32; aOR 1.54, 95% CI 1.11-2.07; and aOR 1.48, 95% CI 1.14-1.90). Compared to children born in June, the risk of RSV hospitalisation was significantly higher in children born in January (aOR 28.09, 95% CI 17.68-48.24) and December (aOR 27.36, 95% CI 17.21-46.99). CONCLUSION This study identified birth month and diagnosis-related groups as key predictors of RSV hospitalisations. This could help manage monoclonal antibody appropriateness criteria.
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Affiliation(s)
- Emanuele Amodio
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Vincenzo Pisciotta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Dario Genovese
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Giuseppe Vella
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Maria Gabriella Verso
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Mario Giuffrè
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Francesco Vitale
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "G. D'Alessandro", University of Palermo, Palermo, Italy
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8
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Mazagatos C, Mendioroz J, Rumayor M, Gallardo García V, Álvarez Río V, Cebollada Gracia A, Batalla Rebollo N, Barranco Boada M, Pérez‐Martínez O, Lameiras Azevedo A, López González‐Coviella N, Castrillejo D, Fernández Ibáñez A, Giménez Duran J, Ramírez Córcoles C, Ramos Marín V, Larrauri A, Monge S. Estimated Impact of Nirsevimab on the Incidence of Respiratory Syncytial Virus Infections Requiring Hospital Admission in Children < 1 Year, Weeks 40, 2023, to 8, 2024, Spain. Influenza Other Respir Viruses 2024; 18:e13294. [PMID: 38716791 PMCID: PMC11077568 DOI: 10.1111/irv.13294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 03/11/2024] [Accepted: 03/30/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Data from the sentinel surveillance system of severe acute respiratory infections in Spain were used to estimate the impact of administration of nirsevimab to children born from 1 April 2023 onwards. METHODS Estimated RSV hospitalisations in < 1-year-olds during weeks 40, 2023, to 8, 2024, were compared to the number that would be expected after accounting for the background change in RSV circulation in the 2023/24 season, compared to 2022/23. RESULTS We estimated 9364-9875 RSV hospitalisations less than expected, corresponding to a 74%-75% reduction.
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Affiliation(s)
- Clara Mazagatos
- National Centre of EpidemiologyInstitute of Health Carlos IIIMadridSpain
- CIBER Epidemiology and Public HealthMadridSpain
| | - Jacobo Mendioroz
- Sub‐direcció General de Vigilància i Resposta a Emergències de Salut Pública, Departament de SalutGeneralitat de CatalunyaBarcelonaSpain
| | - Mercedes Belén Rumayor
- Área de Enfermedades Transmisibles, Subdirección General de Vigilancia en Salud PúblicaMadridSpain
| | - Virtudes Gallardo García
- Servicio de Vigilancia y Salud LaboralDirección General de Salud Pública y Ordenación Farmacéutica, Consejería de Salud y ConsumoAndalucíaSpain
| | - Virginia Álvarez Río
- Servicio de Epidemiología, Consejería de Sanidad, Dirección General de Salud PúblicaJunta de Castilla y LeónValladolidSpain
| | | | - Noa Batalla Rebollo
- Subdirección de Epidemiología de la Dirección General de Salud PúblicaServicio Extremeño de SaludMéridaSpain
| | - María Isabel Barranco Boada
- Servicio de Epidemiología (Sección Vigilancia Epidemiológica)Consejería de Salud‐Región de MurciaMurciaSpain
| | - Olaia Pérez‐Martínez
- Servizo de Epidemioloxía, Dirección Xeral de Saúde Pública, Consellería de SanidadeXunta de GaliciaSantiagoSpain
| | - Ana Sofía Lameiras Azevedo
- Subdirecció General d'Epidemiologia i Vigilància de la Salut, Direcció General de Salut PúblicaGeneralitat ValencianaValenciaSpain
| | | | - Daniel Castrillejo
- Vigilancia Epidemiológica, Consejería de Políticas Sociales y Salud Pública de MelillaDirección General de Salud PúblicaMelillaSpain
| | - Ana Fernández Ibáñez
- Dirección General de Salud Pública y Atención a la Salud MentalConsejería de Sanidad, Principado de AsturiasOviedoSpain
| | - Jaume Giménez Duran
- Servicio de Epidemiología, Consellería de SalutGobierno de las Islas BalearesPalmaSpain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa)PalmaSpain
| | | | - Violeta Ramos Marín
- Servicio de EpidemiologíaConsejería de Sanidad y Servicios Sociales de CeutaCeutaSpain
| | - Amparo Larrauri
- National Centre of EpidemiologyInstitute of Health Carlos IIIMadridSpain
- CIBER Epidemiology and Public HealthMadridSpain
| | - Susana Monge
- National Centre of EpidemiologyInstitute of Health Carlos IIIMadridSpain
- CIBER Infectious DiseasesMadridSpain
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9
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Doenhardt M, Armann JP, Diffloth N, Gano C, Schneider J, Schneider DT, Tenenbaum T, Trotter A, Berner R. High burden of acute respiratory tract infections leading to hospitalization at German pediatric hospitals: fall/winter 2022-2023. Infection 2024; 52:525-534. [PMID: 37957463 PMCID: PMC10954864 DOI: 10.1007/s15010-023-02123-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/22/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE Given reduced immunity levels for seasonally occurring respiratory infections and the experience of an unusually early, severe wave of RSV infections during 2021, a preexisting clinician-led reporting system (CLRS) was updated to prospectively monitor the anticipated high burden of respiratory infections (ARI) in German pediatric hospitals during fall/winter 2022-2023. METHODS From September 13, 2022 through March 31, 2023, children hospitalized with ARI as a primary diagnosis were monitored via a national CLRS established by the German Society for Pediatric Infectious Diseases (DGPI). Once a week, the CLRS collected overall number of new hospital admissions, ARI-related admissions according to pathogen (SARS-CoV-2, RSV, influenza, and other), plus number of patients admitted to ICU with ARI as a primary diagnosis. RESULTS With a high participation among children's hospitals across Germany (22.8%), 76 centers submitted 1,053 survey reports. ARI-related hospital admissions showed a steep rise starting in late September 2022 and reached their highpoint in early December 2022 (50.1% of all admissions). In parallel, the average number of newly admitted patients (aNA) with RSV (3.6) peaked, as did those with influenza (2.1) one week later. The average highpoint of ARI patients on ICU (aICU) (2.9) was reached shortly thereafter. Again, RSV (1.6) und influenza (1.2) were predominant pathogens. CONCLUSION In fall/winter 2022-2023, German hospitals reported a sharp increase in patients with ARIs. While RSV and influenza represented the greatest proportion of ARI, SARS-CoV-2 played a less significant role. Systematic, dynamic collection of ARI data is critical for assessing real burdens on the health care system.
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Affiliation(s)
- Maren Doenhardt
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany.
| | - Jakob P Armann
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Natalie Diffloth
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Christin Gano
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Josephine Schneider
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
| | - Dominik T Schneider
- Clinic of Pediatrics, Municipal Hospital Dortmund, University Witten/Herdecke, Beurhausstraße 40, 44137, Dortmund, Germany
| | - Tobias Tenenbaum
- Clinic for Child and Adolescent Medicine, Sana Klinikum Lichtenberg, Academic Teaching Hospital, Charité-Universitätsmedizin Berlin, Fanningerstraße 32, 10365, Berlin, Germany
| | - Andreas Trotter
- Children's Hospital and Center for Perinatal Medicine, Teaching Hospital of the University of Freiburg, Virchowstr. 10, 78224, Singen, Germany
| | - Reinhard Berner
- Department of Pediatrics, University Hospital and Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Fetscherstraße 74, 01307, Dresden, Germany
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10
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Fortunato F, Campanozzi A, Maffei G, Arena F, Carri VD, Rollo T, Lopalco PL, Martinelli D. Respiratory syncytial virus-associated hospitalizations among children: an Italian retrospective observational study. Ital J Pediatr 2024; 50:45. [PMID: 38454523 PMCID: PMC10921699 DOI: 10.1186/s13052-024-01617-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 02/24/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Respiratory syncytial virus (RSV), a single-stranded RNA virus, is a leading cause of hospitalization in infants, especially ≤ 2 months of life. In the light new immunization strategies adoption, we described epidemiological and clinical characteristics of RSV-associated hospitalizations in pediatric and neonatal intensive care units of the Policlinico Foggia Hospital, Apulia Region, Italy. METHODS Hospitalized children with a laboratory-confirmed RSV infection from 2011 to 2023 were retrospectively evaluated. Clinical information was collected from Hospital Discharge Registry in the period 2011-2020. The proportion of the hospitalization for acute respiratory infections (ARIs) associated to RSV was calculated and the hospitalization cost was analyzed by using the diagnosis-related group reimbursement rate. The anticipated impact of immunization either with monoclonal antibodies or maternal immunization on the number of hospitalizations was estimated. All analyses and quality assessment were performed using STATA/SE15.0. RESULTS A total of 1,005 RSV-cases were included in the study, of which 86.3% occurred between December-March. In the period 2011-2020, 832 RSV-cases were matched with the corresponding hospital admissions; 75.2% were aged < 1 year (49.6% 0-2 months). Bronchiolitis was the most frequent admission diagnosis occurring in 63.3% of patients; 25% of children were affected by a very severe RSV-disease. Younger age ≤ 2 months (OR:14.8, 95%CI:8.30-26.31, p = 0.000), higher length-of-hospital-stay (OR:1.01, 95%CI:1.0-1.02, p = 0.030) and history of prematurity (OR:4.4, 95%CI:1.57-12.11, p = 0.005) were associated with a higher disease severity. RSV caused 48.9% of ARIs among children < 1 year. The mean cost of an RSV-associated hospitalization was 3,036 euros/year, with the higher cost in the 0-2 months age group (4,225 euros/year). Immunization programs with nirsevimab could prevent 51.4 RSV hospitalizations/year and 18.1 very severe RSV disease/year in infants < 1 year of age. RSV vaccine could prevent 46.1 of hospitalizations/year caused by RSV within 180 days after birth. CONCLUSIONS Our study contributes to outlining the baseline profile of RSV-associated hospitalizations among Italian children by providing epidemiological/clinical/economic estimates. While awaiting new recommendations on immunization, healthcare-workers should persist in implementing public health measures and appropriate case management to control RSV seasonal epidemics. Strengthened laboratory RSV surveillance is needed to inform the implementation of the new immunization strategies.
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Affiliation(s)
- Francesca Fortunato
- Hygiene Unit, Department of Medical and Surgical Sciences, Policlinico Foggia Hospital, University of Foggia, Foggia, Italy.
- Department of Medical and Surgical Sciences, Department of Hygiene, University of Foggia, Policlinico Riuniti University Hospital of Foggia, Ospedale "Colonnello D'Avanzo" Viale degli Aviatori, 2, 71122, Foggia, Italy.
| | - Angelo Campanozzi
- Pediatrics Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Gianfranco Maffei
- Neonatology and Intensive Care Unit, Policlinico Foggia Hospital, Foggia, Italy
| | - Fabio Arena
- Microbiology and Virology Unit, Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Valeria Delli Carri
- Hygiene Unit, Department of Medical and Surgical Sciences, Policlinico Foggia Hospital, University of Foggia, Foggia, Italy
| | - Tiziana Rollo
- Microbiology and Virology Unit, Policlinico Foggia Hospital, University of Foggia, Foggia, Italy
| | - Pier Luigi Lopalco
- Department of Biological and Environmental Sciences and Technology, University of Salento, Lecce, Italy
| | - Domenico Martinelli
- Hygiene Unit, Department of Medical and Surgical Sciences, Policlinico Foggia Hospital, University of Foggia, Foggia, Italy
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11
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Petros BA, Milliren CE, Sabeti PC, Ozonoff A. Increased pediatric RSV case counts following the emergence of SARS-CoV-2 are attributable to increased testing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.06.24302387. [PMID: 38405774 PMCID: PMC10888990 DOI: 10.1101/2024.02.06.24302387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Background The incidence of respiratory syncytial virus (RSV) dropped markedly early in the COVID-19 pandemic, followed by a resurgence with heightened case counts. The "immunity debt" hypothesis proposes that the RSV-naive pediatric population increased during the period of low transmission, resulting in a subsequent increased risk of infection. However, the evidence supporting this hypothesis is limited, and no studies have comprehensively evaluated the role of changing respiratory viral testing practices in the perceived surge. Methods We conducted a multicenter, retrospective analysis of 342,530 RSV encounters and 980,546 RSV diagnostic tests occurring at 32 United States pediatric hospitals between 2013 and 2023. We used interrupted time series analysis to estimate pandemic-associated changes in RSV patient and testing volume, and to quantify changes in the proportions of patients admitted from the emergency department (ED), admitted to the intensive care unit (ICU), and receiving mechanical ventilation. We quantified the fraction of the observed shifts in case counts and in the age of diagnosed patients attributable to changes in RSV testing practices. Finally, we analyzed 524,404 influenza virus encounters and 1,768,526 influenza diagnostic tests to address the specificity of the findings to RSV. Findings RSV patient volume increased 2.4-fold (95% CI: 1.7, 3.5) in 2021-2023 relative to the pre-pandemic phase, and was accompanied by an 18.9-fold increase (95% CI: 15.0, 23.9) in RSV test volume. Over two-thirds of the apparent shifts in patient volume and in patient age were attributable to increased testing, which was concentrated among older pediatric patients. The proportions of patients with RSV requiring hospitalization, intensive care, or mechanical ventilation declined significantly across all patient age groups. These declines were not observed for patients with influenza virus. Interpretation A surge in RSV testing, rather than in viral circulation, likely underlies the increased case counts observed in 2021-2023. We identify expected consequences of increased testing, including the diagnosis of less severe cases and a shift in the patient age distribution. These findings warrant a critical assessment of the immunity debt hypothesis, while highlighting the importance of considering the testing denominator when surveillance strategies are dynamic. Funding National Institutes of Health & Howard Hughes Medical Institute.
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Affiliation(s)
- Brittany A. Petros
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard-MIT Health Sciences & Technology, Cambridge, MA, USA
- Harvard/MIT MD-PhD Program, Boston, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Carly E. Milliren
- Institutional Centers for Clinical and Translational Research, Boston Children’s Hospital, Boston, MA, USA
| | - Pardis C. Sabeti
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA
- Department of Immunology & Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Al Ozonoff
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Precision Vaccines Program, Boston Children’s Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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12
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Zhang L, Li Y, Ma N, Zhao Y, Zhao Y. Heterogeneity of influenza infection at precise scale in Yinchuan, Northwest China, 2012-2022: evidence from Joinpoint regression and spatiotemporal analysis. Sci Rep 2024; 14:3079. [PMID: 38321190 PMCID: PMC10847441 DOI: 10.1038/s41598-024-53767-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 02/05/2024] [Indexed: 02/08/2024] Open
Abstract
Identifying high-risk regions and turning points of influenza with a precise spatiotemporal scale may provide effective prevention strategies. In this study, epidemiological characteristics and spatiotemporal clustering analysis at the township level were performed. A descriptive study and a Joinpoint regression analysis were used to explore the epidemiological characteristics and the time trend of influenza. Spatiotemporal autocorrelation and clustering analyses were carried out to explore the spatiotemporal distribution characteristics and aggregation. Furthermore, the hotspot regions were analyzed by spatiotemporal scan analysis. A total of 4025 influenza cases were reported in Yinchuan showing an overall increasing trend. The tendency of influenza in Yinchuan consisted of three stages: increased from 2012 to the first peak in 2019 (32.62/100,000) with a slight decrease in 2016; during 2019 and 2020, the trend was downwards; then it increased sharply again and reached another peak in 2022. The Joinpoint regression analysis found that there were three turning points from January 2012 to December 2022, namely January 2020, April 2020, and February 2022. The children under ten displayed an upward trend and were statistically significant. The trend surface analysis indicated that there was a shifting trend from northern to central and southern. A significant positive spatial auto-correlation was observed at the township level and four high-incidence clusters of influenza were detected. These results suggested that children under 10 years old deserve more attention and the spatiotemporal distribution of high-risk regions of influenza in Yinchuan varies every year at the township level. Thus, more monitoring and resource allocation should be prone to the four high-incidence clusters, which may benefit the public health authorities to carry out the vaccination and health promotion timely.
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Affiliation(s)
- Lu Zhang
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, Ningxia, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, Ningxia, China
| | - Yan Li
- Yinchuan Center for Diseases Prevention and Control, Yinchuan, 750004, Ningxia, China
| | - Ning Ma
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, Ningxia, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, Ningxia, China
| | - Yi Zhao
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, Ningxia, China
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, Ningxia, China
| | - Yu Zhao
- School of Public Health, Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
- Ningxia Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, 750004, Ningxia, China.
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